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Chapter 12: Q. 12.97 (page 518)

Fill in the blank: If a variable has only two possible values, the chi-square homogeneity test provides a procedure for comparing several population......................................

Short Answer

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Fill in the blank: Proportions

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01

Step 1. Given information

Given that If a variable has only two possible values, the chi-square homogeneity test provides a procedure for comparing several population......................................

02

Step 2. Fill in the blank 

If a variable has only two possible values, the chi-square homogeneity test provides a procedure for comparing several population Proportions

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Most popular questions from this chapter

We stated earlier that, if two variables are not associated, ther eis no point in looking for a casual relationship. Why is that so?

We have presented a contingency table that gives a cross-classification of a random sample of values for two variables x and y, of a population.

Perform the following tasks

a. Find the expected frequencies Note: You will first need to compute the row totals, column totals, and grand total.

b. Determine the value of the chi-square statistic

c. Decide at the 5% significance level whether the data provide sufficient evidence to conclude that the two variables are associated.

Ancestry and Region. The U.S. Census Bureau collects information on the U.S. population by ancestry and region of residenc and publishes the results in American Community Survey. Accordin; to that document, 18 % of the population resides in the Northeast.

a. If ancestry and region of residence are not associated, wha percentage of Americans of Irish ancestry would reside in the Northeast?

b. There are roughly 37 million Americans of Irish ancestry. If ancestry and region of residence are not associated, how many Americans of Irish ancestry would reside in the Northeast?

c. There are, in fact, 9.25 million Americans of Irish ancestry who reside in the Northeast. Given this information and your answer to part (b), what can you conclude?

In each case, decide whether Assumptions 1and 2for using chi-square goodness-of-fit test are satisfied.

Sample size: n=100.

Relative frequencies:0.65,0.30,0.05.

For a 蠂2-curve with df=10, determine

a. 蠂0.052

b.蠂0.025
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